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arxiv: 1511.04749 · v1 · pith:2DNZF7ZPnew · submitted 2015-11-15 · ⚛️ physics.bio-ph · cond-mat.soft

The Power Spectrum of Ionic Nanopore Currents: The Role of Ion Correlations

classification ⚛️ physics.bio-ph cond-mat.soft
keywords powerdensitydependencefrequencylinearizedmean-fieldsimulationsspectral
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We calculate the power spectrum of electric-field-driven ion transport through cylindrical nanometer-scale pores using both linearized mean-field theory and Langevin dynamics simulations. With the atom-sized cutoff radius as the only fitting parameter, the linearized mean-field theory accurately captures the dependence of the simulated power spectral density on the pore radius and the applied electric field. Remarkably, the linearized mean-field theory predicts a plateau in the power spectral density at low frequency ${\omega}$, which is confirmed by the Langevin dynamics simulations at low ion concentration. At high ion concentration, however, the power spectral density follows a power law that is reminiscent of the $1/{\omega}^{\alpha}$ dependence found experimentally at low frequency. Based on simulations with and without ion-ion interactions, we attribute the low-frequency power law dependence to ion-ion correlations. Finally, we show that the surface charge density has no effect on the frequency dependence of the power spectrum.

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